#Databricks Create App

Watch Reels videos about Databricks Create App from people all over the world.

Watch anonymously without logging in.

Trending Reels

(12)
#Databricks Create App Reel by @data_master_consulting - ๐Ÿš€ Databricks is now FREE! Yes, completely FREE.

Databricks has launched Databricks Free Edition, and this is a huge opportunity for anyone who wants
1.9K
DA
@data_master_consulting
๐Ÿš€ Databricks is now FREE! Yes, completely FREE. Databricks has launched Databricks Free Edition, and this is a huge opportunity for anyone who wants to learn Data Engineering, Analytics, Data Science, and AI โ€” all in one platform. ๐Ÿ’ก No credit card ๐Ÿ’ก No cloud subscription ๐Ÿ’ก Just sign up and start building You also get: โšก Serverless Compute for notebooks (ETL, ML, pipelines) ๐Ÿ“Š Serverless SQL Warehouses for analytics and SQL workloads This means you can learn, practice, and build real projects without worrying about cloud costs. If you're serious about mastering Databricks, Data Engineering, and AI, this is the best place to start. ๐Ÿ“Œ Check the full video and start learning today! โ€” Naval Yemul Databricks Consultant & Instructor ๐Ÿ”ฅ Follow for more Databricks & AI content #Databricks #DatabricksFreeEdition #DataEngineering #DataAnalytics #DataScience #AI #ArtificialIntelligence #Serverless #DataEngineer #BigData #Lakehouse #DataPlatform #LearnDatabricks #DataMasterConsulting #NavalYemul ๐Ÿš€
#Databricks Create App Reel by @datamindshubs - Weeks 1-4: Foundations
Python + analysis โ†’ freeCodeCamp Data Analysis cert + Kaggle Python
Math made simple โ†’ 3Blue1Brown + StatQuest YouTube

Weeks 5
2.0K
DA
@datamindshubs
Weeks 1-4: Foundations Python + analysis โ†’ freeCodeCamp Data Analysis cert + Kaggle Python Math made simple โ†’ 3Blue1Brown + StatQuest YouTube Weeks 5-8: Data Ninja Pandas/NumPy/SQL โ†’ Kaggle full courses Practice daily on real datasets Weeks 9-10: Storytelling Seaborn + Plotly + free Tableau Public dashboards Weeks 11-16: ML Era Andrew Ng Coursera (audit FREE) Kaggle Intro + Intermediate ML Use claude opus ai to explain + debug Ongoing: Get Hired 5+ end-to-end Kaggle projects โ†’ deploy free on Streamlit/Hugging Face Add GenAI twists (LLM-powered EDA) 2026 truth: Consistency + AI co-pilot beats everything. Employers want projects, not certificates. Save this if youโ€™re serious about switching careers ๐Ÿ‘‡ Where are you right now? Comment: Beginner / Python hell / Already building projects DM me โ€œDS2026โ€ and Iโ€™ll send you my personal next-step guide + free prompting template. Whoโ€™s starting this roadmap with me this week? Tag that friend who keeps talking about data jobs! ๐Ÿ”ฅ #DataScience #LearnDataScience #DataCareer2026
#Databricks Create App Reel by @datamindshubs - Weeks 1-4: Foundations
Python + analysis โ†’ freeCodeCamp Data Analysis cert + Kaggle Python
Math made simple โ†’ 3Blue1Brown + StatQuest YouTube

Weeks 5
130
DA
@datamindshubs
Weeks 1-4: Foundations Python + analysis โ†’ freeCodeCamp Data Analysis cert + Kaggle Python Math made simple โ†’ 3Blue1Brown + StatQuest YouTube Weeks 5-8: Data Ninja Pandas/NumPy/SQL โ†’ Kaggle full courses Practice daily on real datasets Weeks 9-10: Storytelling Seaborn + Plotly + free Tableau Public dashboards Weeks 11-16: ML Era Andrew Ng Coursera (audit FREE) Kaggle Intro + Intermediate ML Use claude opus ai to explain + debug Ongoing: Get Hired 5+ end-to-end Kaggle projects โ†’ deploy free on Streamlit/Hugging Face Add GenAI twists (LLM-powered EDA) 2026 truth: Consistency + AI co-pilot beats everything. Employers want projects, not certificates. Save this if youโ€™re serious about switching careers ๐Ÿ‘‡ Where are you right now? Comment: Beginner / Python hell / Already building projects DM me โ€œDS2026โ€ and Iโ€™ll send you my personal next-step guide + free prompting template. Whoโ€™s starting this roadmap with me this week? Tag that friend who keeps talking about data jobs! ๐Ÿ”ฅ #DataScience #LearnDataScience #DataCareer2026
#Databricks Create App Reel by @data_master_consulting - Still confused about Databricks?

Most people overcomplicate it.

It's simply a unified Data + AI platform built on Lakehouse architecture - combining
895
DA
@data_master_consulting
Still confused about Databricks? Most people overcomplicate it. Itโ€™s simply a unified Data + AI platform built on Lakehouse architecture โ€” combining Data Lake and Data Warehouse in one system. If youโ€™re in: โ€ข Data Engineering โ€ข Data Science โ€ข AI โ€ข Analytics You NEED to understand this. Follow for more Data & AI breakdowns. Full tutorials on YouTube (Link in bio). Save this for later ๐Ÿš€ #techexplained #datacareer #databricks #machinelearning #dataengineering
#Databricks Create App Reel by @dataflint - What's the best LLM for data engineers right now?

Someone asked this on the Databricks subreddit recently, and the most-upvoted answer was basically:
549
DA
@dataflint
Whatโ€™s the best LLM for data engineers right now? Someone asked this on the Databricks subreddit recently, and the most-upvoted answer was basically: the Databricks AI Dev Kit. Because itโ€™s not really about โ€˜model X or model Y itโ€™s about giving your LLM the right tools. The AI Dev Kit hooks up Cursor, Claude Code or whatever youโ€™re using, with Databricks-native context and an MCP server, so it can actually help you build real Databricks stuff: pipelines, jobs, Unity Catalog assets, dashboards . But hereโ€™s the problem: thatโ€™s build-time. The thing that ruins your life is run-time. Your job isnโ€™t failing because you wrote Python wrong. Itโ€™s failing because Spark decided to do a 4TB shuffle, one key is 90% of the data, and now your executors are dropping from OOM. And alsoโ€ฆ the AI Dev Kit is for Databricks. Awesome if youโ€™re all-in there. But what about teams on EMR, Kubernetes, or Dataproc? Thatโ€™s where DataFlint fits. DataFlintโ€™s agentic copilot pulls in production context, Spark logs, and metrics with plans, stages, shuffles, and failures. So those problems can be fixed seamlessly and proactively, and it works across all Spark platforms
#Databricks Create App Reel by @dataanddreamscapes - Day 5: Built a Binary Purchase Label, Joined with Silver Features, Split train/test, and Validated Class Distribution. Moving from Feature Engineering
70
DA
@dataanddreamscapes
Day 5: Built a Binary Purchase Label, Joined with Silver Features, Split train/test, and Validated Class Distribution. Moving from Feature Engineering to AI System Preparation. #databrickswithidc #DataEngineering #databricks #featureengineering #training Activity Log: https://pewter-porch-d86.notion.site/Databricks-14-Days-AI-Challenge-2-30947a4b88b880a5a363f2181e43601e?source=copy_link
#Databricks Create App Reel by @data_engineer_academy - Data engineering isn't going extinct-it's evolving with new tools, AI, and modern data pipelines. Just like databases didn't disappear, ETL and data t
993
DA
@data_engineer_academy
Data engineering isnโ€™t going extinctโ€”itโ€™s evolving with new tools, AI, and modern data pipelines. Just like databases didnโ€™t disappear, ETL and data transformation are simply changing with better technology and practices. If you want to stay relevant in tech, the key is simple: adapt, upskill, and keep up. ๐Ÿš€ #DataEngineering #DataEvolution #AITools #ModernDataPipelines #ETL #DataTransformation #TechSkills #Upskill #StayRelevant #FutureOfTech #DataTech #AIinData #TechCareer
#Databricks Create App Reel by @chandukongara_ - Comment "ROADMAP" and I'll send you the detailed learning paths straight to your DM.

Stop wasting years jumping between random tutorials. Whether you
162
CH
@chandukongara_
Comment โ€œROADMAPโ€ and Iโ€™ll send you the detailed learning paths straight to your DM. Stop wasting years jumping between random tutorials. Whether youโ€™re aiming for Data Science, Data Analytics, Data Engineering, or AI Engineering, each path needs a different stack and a clear direction. Master the right tools for your role โ€” and everything starts making sense. Pick your lane. Follow a roadmap. Build with purpose. [datascience, dataanalytics, dataengineering, aiengineer, roadmap, techcareers] #datascience #dataanalytics #dataengineering #aiengineer #techcareers learningpath
#Databricks Create App Reel by @coder.s - ๐Ÿš€ ONE Google Drive = Full Stack Data Science Roadmap

A clear step-by-step path to learn Data Science from scratch -
No confusion. No missing links.
49.5K
CO
@coder.s
๐Ÿš€ ONE Google Drive = Full Stack Data Science Roadmap A clear step-by-step path to learn Data Science from scratch โ€” No confusion. No missing links. Just structured learning ๐Ÿ’ก Inside the Drive ๐Ÿ‘‡ โœ… Python for Data Science โœ… SQL for Data Handling โœ… Machine Learning Fundamentals โœ… Deep Learning Concepts โœ… Real-World Projects to Build Your Portfolio Follow this roadmap and go from Beginner โ†’ Job-Ready Data Scientist ๐Ÿ“ˆ ๐Ÿ’ฌ Comment โ€œDRIVEโ€ and Iโ€™ll DM you instant access ๐Ÿ“Œ Save this reel โ€” this drive is GOLD #datascience #fullstackdatascience #python #sql #machinelearning deeplearning dsml aiml dataanalyst placementprep btechstudents csestudents engineeringlife techcareers studentlife
#Databricks Create App Reel by @codingmermaid.ai (verified account) - You don't need AI! You need to start small! 

There's no reason to jump straight  to AI, LLMs, agents or RAG, 90% of the data in the market is tabular
54.5K
CO
@codingmermaid.ai
You don't need AI! You need to start small! Thereโ€™s no reason to jump straight to AI, LLMs, agents or RAG, 90% of the data in the market is tabular and requires simple but robust solutions. On top of that some people jump in without a plan or understanding what these skills are or what they do in the market. Hereโ€™s how to start small and build momentum while figuring if this is even for you. โœ… Learn Python basics and write clean code โœ… Practice in Google Colab or Jupyter Notebook โœ… Get comfortable with NumPy and Pandas โœ… Visualize with Seaborn โœ… Take Stanfordโ€™s free Machine Learning course โœ… Master core algorithms like Logistic Regression, SVMs, and Decision Trees โœ… Practice with projects like Titanic or Wine Quality to learn the full workflow You wonโ€™t be building your portfolio in 3 months. Instead take that time to get comfortable with these tools, learn key skills and train on the most in-demand skills Follow @codingmermaid.ai to master DIY data science on your own, become a builder, AI-powered and go from a learner to earner. I created a data science guide just for you, comment DATA and I'll send it your way!
#Databricks Create App Reel by @viktoria.semaan (verified account) - Career Series 2 of 3: How to prepare for interviews at Databricks โ†“

Landing a tech job nowadays isn't easy. 5+ rounds of interviews, coding assignmen
13.2K
VI
@viktoria.semaan
Career Series 2 of 3: How to prepare for interviews at Databricks โ†“ Landing a tech job nowadays isnโ€™t easy. 5+ rounds of interviews, coding assignments, presentations and months of prep work. 6 months ago, I landed several offers and today I want to share my interview prep for a Principal role at Databricks. I went from learning Lakehouse architecture to hands-on using 4 resources. This allowed me to upskill fast on Databricks and prepared me for final coding assignment. Why Databricks? The company is growing incredibly fast - from 7,000 to over 10,000 employees in just 6 months. 55%+ revenue growth. 10,000+ customers. That means opportunities everywhere: customer-facing roles, consulting, and internal positions. Data and AI skills are some of the hardest to find right now, which makes this an incredible time to break in ๐Ÿš€โค๏ธ Hereโ€™s exactly what I used: 1๏ธโƒฃ Databricks Academy: Free courses + LinkedIn badges that signal youโ€™re serious 2๏ธโƒฃ YouTube: Databricks For Professionals: Best channel for understanding Spark, Lakehouse, Unity Catalog, etc 3๏ธโƒฃ Data Engineering Course on LinkedIn: Structured hands-on practice 4๏ธโƒฃ GenAI Documentation: Practical notebooks you can run immediately Theory isnโ€™t enough. You need hands-on practice with the actual platform. ๐Ÿ”— Comment VIKTORIA and Iโ€™ll send you links to all resources Whatโ€™s your biggest challenge with interview prep? Iโ€™ll answer questions in the comments. P.S. Next video: I will share How i would break into tech in 2026 if I had to start from 0 ____ Hello ๐Ÿ‘‹ Iโ€™m Viktoria, Educator and Principal Technologist at Databricks. I share practical Al tips and resources. Follow for more educational content. #InterviewPrep #Databricks #TechCareers #TechInterviews #TechJobs
#Databricks Create App Reel by @dedatahub - ๐—š๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ๐˜€ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜†๐˜๐—ต๐—ถ๐—ป๐—ด

Anyone can start learning data science
235
DE
@dedatahub
๐—š๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ๐˜€ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜†๐˜๐—ต๐—ถ๐—ป๐—ด Anyone can start learning data science. Not everyone learns the right things. The market does not reward random effort. It rewards precision. Knowing which skills are in demand. Knowing what companies are actively hiring for. Knowing how tools connect to real business problems. Before jumping into another course, ask yourself: Are you learning Python for data analysis or just syntax? Do you understand SQL well enough to extract insights from real databases? Can you communicate insights through dashboards and storytelling? Do you understand machine learning beyond buzzwords? The difference between being โ€œinterested in dataโ€ and being hireable in data is skill alignment. At DeDataHub, we combine AI powered career intelligence with human advisors to help you identify the exact skills you need, in the right order, based on real hiring trends. No guesswork. No wasted months. If you are serious about building a data career that actually converts to opportunities, start with direction. ๐—๐—ผ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐˜„๐—ฎ๐—ถ๐˜๐—น๐—ถ๐˜€๐˜ ๐—ฎ๐˜ ๐——๐—ฒ๐——๐—ฎ๐˜๐—ฎ๐—›๐˜‚๐—ฏ.๐—ถ๐—ผ #๐——๐—ฒ๐——๐—ฎ๐˜๐—ฎ๐—›๐˜‚๐—ฏ #๐——๐—ฎ๐˜๐—ฎ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ #๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ #๐—”๐—œ #๐——๐—ฎ๐˜๐—ฎ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ๐˜€ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ๐—ข๐—ณ๐—ช๐—ผ๐—ฟ๐—ธ ๐—ง๐—ฒ๐—ฐ๐—ต๐—๐—ผ๐—ฏ๐˜€ ๐——๐—ถ๐—ด๐—ถ๐˜๐—ฎ๐—น๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€

โœจ #Databricks Create App Discovery Guide

Instagram hosts thousands of posts under #Databricks Create App, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

#Databricks Create App is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @codingmermaid.ai, @coder.s and @viktoria.semaan are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

What's trending in #Databricks Create App? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.

Popular Categories

๐Ÿ“น Video Trends: Discover the latest Reels and viral videos

๐Ÿ“ˆ Hashtag Strategy: Explore trending hashtag options for your content

๐ŸŒŸ Featured Creators: @codingmermaid.ai, @coder.s, @viktoria.semaan and others leading the community

FAQs About #Databricks Create App

With Pictame, you can browse all #Databricks Create App reels and videos without logging into Instagram. No account required and your activity remains private.

Content Performance Insights

Analysis of 12 reels

โœ… Moderate Competition

๐Ÿ’ก Top performing posts average 29.8K views (2.9x above average). Moderate competition - consistent posting builds momentum.

Post consistently 3-5 times/week at times when your audience is most active

Content Creation Tips & Strategy

๐Ÿ’ก Top performing content gets over 10K views - focus on engaging first 3 seconds

๐Ÿ“น High-quality vertical videos (9:16) perform best for #Databricks Create App - use good lighting and clear audio

โœ๏ธ Detailed captions with story work well - average caption length is 929 characters

โœจ Some verified creators are active (17%) - study their content style for inspiration

Popular Searches Related to #Databricks Create App

๐ŸŽฌFor Video Lovers

Databricks Create App ReelsWatch Databricks Create App Videos

๐Ÿ“ˆFor Strategy Seekers

Databricks Create App Trending HashtagsBest Databricks Create App Hashtags

๐ŸŒŸExplore More

Explore Databricks Create App#databricks#creating app#app create